Creative Machine Learning - Draw and Paint with 3 Neural Network Projects
Learn deep learning and artificial intelligence by teaching a 'brain' how to mimic and generate art.
Created by John Bura
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Skill level
All levels
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Sections
22
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Lectures
158
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Instructor
John Bura
What's inside
This course includes.
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22
Sections
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158
Lectures
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158
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 00 Course Overview 5 lectures
00 Project Preview
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02 Project 2 Preview
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03 Project 3 Overview
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04 What You'll Need
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Source Files
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+ 02 Collect and Process Data 6 lectures
01 Load Drawings Dataset
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02 Label Data
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03 Build A Training Dataset
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04 Visualize Dataset
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05 Batch And Shuffle Data
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+ 03 Build a Generative Neural Network 3 lectures
01 Build A Generator
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02 Generate Noise
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+ 03a Generative Neural Network Fundamentals 9 lectures
01 What Is A Generative Neural Network
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02 What Is A Convolutional Neural Network
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03 How To Build A Convolutional Neural Network
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04 How To Build A Dense Layer
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05 How To Build A Batch Normalization Layer
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06 Leaky Relu Activation Function
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07 Transposed Convolution Layer
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08 Hyperbolic Tangent (Tanh) Activation Function
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+ 04 Build a Discriminator Neural Network 3 lectures
00 How Do You Build A Discriminator
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01 Build A Discriminator
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+ 05 Evaluate the Model's Performance 5 lectures
00 Performance Of A Machine Learning Algorithm
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01 Calculate Loss
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02 Assign Optimizers
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02A What Is The Adam Optimizer
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+ 06 Train the Model to Draw 4 lectures
01 Build A Training Step
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02 Train The Model
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03 Visualize Training
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+ 07 Test the Model's Drawing Ability 2 lectures
01 Test The Model
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+ 08 Build an Image Style Transfer Project 11 lectures
00 Style Transfer Project Overview
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01 Load The Model
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02 Load Images
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03 Reformat Image For Machine Learning
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04 Load Original And Style Images
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05 Display Processed Images
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06 Extract Image Features
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07 Calculate The Style Representation
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08 Optimize The Model
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09 Use Machine Learning To Transfer Image Style
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+ 09 Build an Image Approximation Project 8 lectures
01 Load And Process Image
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02 Build A Training Dataset
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03 Visualize Training Dataset
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04 Build A Testing Dataset
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05 Build A Neural Network
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06 Train The Neural Network
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07 Visualize Image Approximation Results
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Source Files
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Description
About this course.
**Welcome to the Course: Creative Machine Learning - Draw and Paint with Neural Network Projects**
Embark on a creative and innovative exploration of machine learning as you learn to draw and paint with neural networks. This course is designed to combine the realms of art and technology, introducing you to the fascinating world where machine learning and creativity converge. Whether you're an artist seeking new tools or a tech enthusiast with a passion for art, this course will guide you through exciting projects using neural networks.
By the end of this course, you will have the knowledge and skills to unleash your creativity with machine learning, drawing, and painting. Whether you're an artist looking to incorporate technology into your work or a tech enthusiast fascinated by the intersection of art and machine learning, join us on this exciting journey to explore and create with neural networks!
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Learn deep learning and artificial intelligence by teaching a 'brain' how to mimic and generate art.